We propose a new approach to the notion of recognition, which departs from the classical definitions by three specific features. First, it does not rely on automata. Secondly, it...
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
The input-state incidence matrix of control Boolean network is proposed. It is shown that this matrix contains complete information of the input-state mapping. Using it, an easily...
Abstract—Internet topology plays a vital role in studying network’s internal structure and properties. Currently traceroutebased topology discovery is the main approach to map ...
We pose and study the problem of Byzantine-robust topology discovery in an arbitrary asynchronous network. The problem straction of fault-tolerant routing. We formally state the we...